The Role of Artificial Intelligence in Combating Antimicrobial Resistance

Year 2025, Volume: 55 Issue: 3, 540 - 546, 14.01.2026

Büşra Alkan , Çağla Bozkurt Güzel

https://doi.org/10.26650/IstanbulJPharm.2025.1619551

https://izlik.org/JA79JH22FZ

Abstract

The widespread use of antimicrobials has undeniably played a pivotal role in saving millions of lives; however, their misuse and inappropriate prophylactic application have significantly contributed to the emergence of antimicrobial resistance (AMR), a critical issue that increasingly threatens global health. The World Health Organisation (WHO) estimates that by 2050, AMR could result in as many as 10 million deaths annually. In response to this urgent crisis, many countries have initiated measures to combat AMR.

A significant challenge in addressing AMR lies in the difficulties associated with discovering new antimicrobial agents, coupled with the rapid development of resistance to existing treatments. Despite the heightened awareness surrounding the AMR crisis, there remains a pressing need for innovative solutions, including the development of new antimicrobial drugs, novel antibiotic combinations, and improved strategies such as enhanced monitoring systems to effectively manage this growing threat.

Artificial Intelligence (AI) has emerged as a promising approach in the fight against AMR. In the field of infectious diseases, AI has the potential to revolutionise the identification and management of resistance patterns. While AI technologies have begun to serve as valuable tools for predicting antimicrobial resistance (AMR) trends, there is substantial potential for further advancements. This review explores how AI technology can be leveraged to combat AMR and enhance the efficacy of the healthcare industry in addressing this global challenge.

Keywords

Artificial Intelligence , Antimicrobial Resistance , AI Application in Microbiology , Clinical Microbiology , Machine Learning

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